GCP Cloud Data
4 weeks ago
We are seeking a highly skilled GCP Cloud Data & AI Practice Architect to join our team at TEKsystems Global Services. As a key member of our team, you will be responsible for developing and architecting data and AI solutions utilizing Google Cloud Data services.
With a strong background in cloud platforms and a proven track record of delivering results in software/technology consulting, you will be well-equipped to drive change and innovation in our clients' businesses.
Key Responsibilities- Technical liaison between customers, development & support teams for Data & AI
- Hands-on experience in building proof of concepts (POCs) to demonstrate GCP Data and AI stack across several enterprise customers
- Architect and implement distributed ML, high-volume data into Google Cloud
- Participating in architectural discussions to build confidence and ensure customer success when building new and migrating existing applications, software, and services on the GCP platform
- Conducting deep-dive education/training sessions to transfer knowledge to customers considering, or already using GCP
- Supporting Sales and Pre-Sales to convert opportunity to revenue through thought leadership
- Driving consensus across cross-functional teams to deliver Google Cloud Data & AI engagements
- At least 5 years of proven experience in designing and delivering Data Architecture, Data Strategy, Data Management, Data engineering, AI Architecture, MLOPS
- Strong programming experience in at least one object-oriented programming language (Java, Python, Scala)
- Active GCP Professional Certifications
- Experience in architecting system design for large Data & AI Modernization
- At least 1 year of experience in Generative AI using any Hyperscalers using techniques including RAG, Prompt engineering, and fine-tuning a custom model from the marketplace
- Excellent presentation skills - at least 2 years of experience in presentation skills, storyboarding, and influencing senior leadership towards decision
- At least 5 years of experience in software/technology customer-facing roles
- Degree in a technical discipline, such as Computer Science or Math
- Minimum 10+ years of total IT experience
- Experience in implementing big data and Lakehouse solutions using Databricks
- Experience in implementing Kubernetes, Dockers, DevOps principles
- Deep understanding of other cloud architectures, including Azure, AWS cloud, IBM Bluemix, and differentiating factors between the components
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